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ZDNet Security
Based on more than 6 million breached passwords, there are certain subjects and patterns you should avoid in your own passwords, says payment firm Dojo.
The Hacker News
A Chinese-speaking phishing gang dubbed PostalFurious has been linked to a new SMS campaign that's targeting users in the U.A.E. by masquerading as postal services and toll operators, per Group-IB. The fraudulent scheme entails sending users bogus text messages asking them to pay a vehicle trip fee to avoid additional fines. The messages also contain a shortened URL to conceal the actual
Dark Reading
The data shows how most cyberattacks start, so basic steps can help organizations avoid becoming the latest statistic.
The Register
Do it or don't. We're not cops. But the FBI are, and they have this to say The FBI and friends have warned organizations to "strictly limit the use of RDP and other remote desktop services" to avoid BianLian infections and the ransomware gang's extortion attempts that follow the data encryption.…
Dark Reading
Malicious packages are hard to avoid and hard to detect — unless you know what to look for.
Krebs on Secuity
KrebsOnSecurity received a nice bump in traffic this week thanks to tweets from the Federal Bureau of Investigation (FBI) and the Federal Communications Commission (FCC) about "juice jacking," a term first coined here in 2011 to describe a potential threat of data theft when one plugs their mobile device into a public charging kiosk. It remains unclear what may have prompted the alerts, but the good news is that there are some fairly basic things you can do to avoid having to worry about juice jacking.
ZDNet Security
Your at-home or on-the-go work setup could be compromising your company's security. Experts told ZDNET how you can avoid common vulnerabilities.
Dark Reading
Faced with enterprise challenges, the Holy See looks to ensure it avoids a "holey" mobile device management solution.
The Hacker News
Clouded vision CTI systems are confronted with some major issues ranging from the size of the collection networks to their diversity, which ultimately influence the degree of confidence they can put on their signals. Are they fresh enough and sufficiently reliable to avoid any false positives or any poisoning? Do I risk acting on outdated data? This difference is major since a piece of